PEDDAPOTHULA VENKATA KUMAR

Dedicated B.Tech graduate with a passion for data analytics and machine learning. Eager to utilize skills in addressing social issues, particularly women's safety. Valuable experience in data labeling and technical proficiency in Embedded C and Python gained through internships. Seeking opportunity to join organization that values creativity, growth, and innovation, while making positive impact on society.

• Certified Data Analyst, Datamites, 2024, 2025
• Full stack java, JSpiders Marathahalli, 07/01/22, 2023

• Improved Annotation Accuracy, Increased annotation accuracy by 20% through meticulous data labeling practices.
• Enhanced Project Efficiency, Reduced project completion time by 15% with efficient use of Canvas tool.
• Analyzed Social Media Data, Conducted analysis on 2000+ tweets for women safety research.
• Expanded Technical Skills, Learned and implemented 3 new programming languages during internship period.

• Learning new skills
• Travelling
• Teamwork
• Leadership and Communication
• Decision-Making

Profit Analysis By using Regression Method | Powder bi Dashboard.

"Profit Analysis Dashboard" reveals:

1. Predicted Profit by State

New York is highlighted, showing a predicted profit just below 1.935M.
The predicted and actual profits across states are very close, indicating a good prediction model.


2. Spend vs Profit Table

Shows Administration, Marketing Spend, R&D Spend, Actual Profit, and Predicted Profit for different states.
New York tops the list with the highest predicted profit (1.93M), and California and Florida follow.


3. Actual vs Predicted Profit by Categories

Marketing Spend (Bottom Left):
Largest spend is 471,784.1, contributing 192.26K profit (9.94%).
Administration (Bottom Center):
Highest admin cost is 136,897.8, also matching the top profit (192.26K).
R&D Spend (Bottom Right):
Top R&D spend is 165,349.2, again linking to the highest profit (192.26K).

4. Overall Spend vs Profit (Bottom Center)

Cumulative profit visualized as 1.93M against a potential 3.87M scale.